Hastings.coeff.gp {spectralGP}R Documentation

Calculates Hastings value of coefficients

Description

Calculates Hastings value of coefficients, the logdensity of the current coefficients given proposal mean and variance based on a Gibbs sample of the form in Gibbs.sample.coeff.gp.

Usage

Hastings.coeff.gp(object, z, sig2e, meanVal=0, sdVal=1, ...)

Arguments

object A GP object, created by gp.
z Vector of values for z, the noisy version of the process.
sig2e Noise variance component that distorts z as a version of the process.
meanVal Optional mean value for z.
sdVal Optional standard deviation value for z.
... Other arguments.

Details

This function can be used in an MCMC context to calculate the Hastings correction that may be necessary in taking a quasi-Gibbs sample of the process coefficients, as part of one of the algorithms of Paciorek (2006). The function calculates and returns the logdensity.

Value

The function returns the logdensity.

Author(s)

Christopher Paciorek paciorek@alumni.cmu.edu

References

Type 'citation("spectralGP")' for references.

See Also

gp,propose.coeff.gp,updateprocess.gp


[Package spectralGP version 1.1 Index]